us-stock-analysis▌
tradermonty/claude-trading-skills · updated May 15, 2026
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Comprehensive fundamental, technical, and comparative analysis of US stocks with real-time market data and investment reports.
- ›Supports four analysis types: basic stock info, fundamental analysis (financials, valuation, business quality), technical analysis (indicators, chart patterns, support/resistance), and comprehensive investment reports
- ›Fetches current market data via web search across Yahoo Finance, SEC filings, earnings reports, and technical data sources
- ›Generates side-by-si
US Stock Analysis
Overview
Perform comprehensive analysis of US stocks covering fundamental analysis (financials, business quality, valuation), technical analysis (indicators, trends, patterns), peer comparisons, and generate detailed investment reports. Fetch real-time market data via web search tools and apply structured analytical frameworks.
Data Sources
Always use web search tools to gather current market data:
Primary Data to Fetch:
- Current stock price and trading data (price, volume, 52-week range)
- Financial statements (income statement, balance sheet, cash flow)
- Key metrics (P/E, EPS, revenue, margins, debt ratios)
- Analyst ratings and price targets
- Recent news and developments
- Peer/competitor data (for comparisons)
- Technical data (moving averages, RSI, MACD when available)
Search Strategy:
- Use ticker symbol + specific data needed (e.g., "AAPL financial metrics 2024")
- For comprehensive data: Search for earnings reports, investor presentations, or SEC filings
- For technical data: Search for "AAPL technical analysis" or use financial data sites
- Always verify data recency (prefer data from last quarter)
Quality Sources:
- Yahoo Finance, Google Finance, MarketWatch, Seeking Alpha, Bloomberg, CNBC
- Company investor relations pages
- SEC filings (10-K, 10-Q) for detailed financials
- TradingView, StockCharts for technical data
Analysis Types
This skill supports four types of analysis. Determine which type(s) the user needs:
- Basic Stock Info - Quick overview with key metrics
- Fundamental Analysis - Deep dive into business, financials, valuation
- Technical Analysis - Chart patterns, indicators, trend analysis
- Comprehensive Report - Complete analysis combining all approaches
Analysis Workflows
1. Basic Stock Information
When to Use: User asks for quick overview or basic info
Steps:
- Search for current stock data (price, volume, market cap)
- Gather key metrics (P/E, EPS, revenue growth, margins)
- Get 52-week range and year-to-date performance
- Find recent news or major developments
- Present in concise summary format
Output Format:
- Company description (1-2 sentences)
- Current price and trading metrics
- Key valuation metrics (table)
- Recent performance
- Notable recent news (if any)
2. Fundamental Analysis
When to Use: User wants financial analysis, valuation assessment, or business evaluation
Steps:
-
Gather comprehensive financial data:
- Revenue, earnings, cash flow (3-5 year trends)
- Balance sheet metrics (debt, cash, working capital)
- Profitability metrics (margins, ROE, ROIC)
-
Read references/fundamental-analysis.md for analytical framework
-
Read references/financial-metrics.md for metric definitions and calculations
-
Analyze business quality:
- Competitive advantages
- Management track record
- Industry position
-
Perform valuation analysis:
- Calculate key ratios (P/E, PEG, P/B, EV/EBITDA)
- Compare to historical averages
- Compare to peer group
- Estimate fair value range
-
Identify risks:
- Company-specific risks
- Market/macro risks
- Red flags from financial data
-
Generate output following references/report-template.md structure
Critical Analyses:
- Profitability trends (improving/declining margins)
- Cash flow quality (FCF vs earnings)
- Balance sheet strength (debt levels, liquidity)
- Growth sustainability
- Valuation vs peers and historical average
3. Technical Analysis
When to Use: User asks for technical analysis, chart patterns, or trading signals
Steps:
-
Gather technical data:
- Current price and recent price action
- Volume trends
- Moving averages (20-day, 50-day, 200-day)
- Technical indicators (RSI, MACD, Bollinger Bands)
-
Read references/technical-analysis.md for indicator definitions and patterns
-
Identify trend:
- Uptrend, downtrend, or sideways
- Strength of trend
-
Locate support and resistance levels:
- Recent highs and lows
- Moving average levels
- Round numbers
-
Analyze indicators:
- RSI: Overbought (>70) or oversold (<30)
- MACD: Crossovers and divergences
- Volume: Confirmation or divergence
- Bollinger Bands: Squeeze or expansion
-
Identify chart patterns:
- Reversal patterns (head and shoulders, double top/bottom)
- Continuation patterns (flags, triangles)
-
Generate technical outlook:
- Current trend assessment
- Key levels to watch
- Risk/reward analysis
- Short and medium-term outlook
Interpretation Guidelines:
- Confirm signals with multiple indicators
- Consider volume for validation
- Note divergences between price and indicators
- Always identify risk levels (stop-loss)
4. Comprehensive Investment Report
When to Use: User asks for detailed report, investment recommendation, or complete analysis
Steps:
-
Perform data gathering (as in Basic Info)
-
Execute fundamental analysis (follow workflow above)
-
Execute technical analysis (follow workflow above)
-
Read references/report-template.md for complete report structure
-
Synthesize findings:
- Integrate fundamental and technical insights
- Develop bull and bear cases
- Assess risk/reward
-
Generate recommendation:
- Buy/Hold/Sell rating
- Target price with timeframe
- Conviction level
- Entry strategy
-
Create formatted report following template structure
Report Must Include:
- Executive summary with recommendation
- Company overview
- Investment thesis (bull and bear cases)
- Fundamental analysis section
- Technical analysis section
- Valuation analysis
- Risk assessment
- Catalysts and timeline
- Conclusion
Stock Comparison Analysis
When to Use: User asks to compare two or more stocks (e.g., "compare AAPL vs MSFT")
Steps:
-
Gather data for all stocks:
- Follow data gathering steps for each ticker
- Ensure comparable timeframes
-
Read references/fundamental-analysis.md and references/financial-metrics.md
-
Create side-by-side comparison:
- Business models comparison
- Financial metrics table (all key ratios)
- Valuation metrics table
- Growth rates comparison
- Profitability comparison
- Balance sheet strength
-
Identify relative strengths:
- Where each company excels
- Quantified advantages
-
Technical comparison:
- Relative strength
- Momentum comparison
- Which is in better technical position
-
Generate recommendation:
- Which stock is more attractive and why
- Consider both fundamental and technical factors
- Portfolio allocation suggestion
- Risk-adjusted return assessment
Output Format: Follow "Comparison Report Structure" in references/report-template.md
Output Guidelines
General Principles:
- Use tables for financial data and comparisons (easy to scan)
- Bold key metrics and findings
- Include data sources and dates
- Quantify whenever possible
- Present both bull and bear perspectives
- Be clear about assumptions and uncertainties
Formatting:
- Headers for clear section separation
- Tables for metrics, comparisons, historical data
- Bullet points for lists, factors, risks
- Bold text for key findings, important metrics
- Percentages for growth rates, returns, margins
- Currency formatted consistently ($B for billions, $M for millions)
Tone:
- Objective and balanced
- Acknowledge uncertainty
- Support claims with data
- Avoid hyperbole
- Present risks clearly
Reference Files
Load these references as needed during analysis:
references/technical-analysis.md
- When: Performing technical analysis or interpreting indicators
- Contains: Indicator definitions, chart patterns, support/resistance concepts, analysis workflow
references/fundamental-analysis.md
- When: Performing fundamental analysis or business evaluation
- Contains: Business quality assessment, financial health analysis, valuation frameworks, risk assessment, red flags
references/financial-metrics.md
- When: Need definitions or calculation methods for financial ratios
- Contains: All key metrics with formulas (profitability, valuation, growth, liquidity, leverage, efficiency, cash flow)
references/report-template.md
- When: Creating comprehensive report or comparison
- Contains: Complete report structure, formatting guidelines, section templates, comparison format
Example Queries
Basic Info:
- "What's the current price of AAPL?"
- "Give me key metrics for Tesla"
- "Quick overview of Microsoft stock"
Fundamental:
- "Analyze NVDA's financials"
- "Is Amazon overvalued?"
- "Evaluate Apple's business quality"
- "What's Google's debt situation?"
Technical:
- "Technical analysis of TSLA"
- "Is Netflix oversold?"
- "Show me support levels for AAPL"
- "What's the trend for AMD?"
Comprehensive:
- "Complete analysis of Microsoft"
- "Give me a full report on AAPL"
- "Should I invest in Tesla? Give me detailed analysis"
Comparison:
- "Compare AAPL vs MSFT"
- "Tesla vs Nvidia - which is better?"
- "Analyze Meta vs Google"
How to use us-stock-analysis on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add us-stock-analysis
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches us-stock-analysis from GitHub repository tradermonty/claude-trading-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate us-stock-analysis. Access the skill through slash commands (e.g., /us-stock-analysis) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
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Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★25 reviews- ★★★★★Mateo Khan· Dec 20, 2024
I recommend us-stock-analysis for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Zaid Jackson· Nov 11, 2024
Keeps context tight: us-stock-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Sofia Patel· Oct 2, 2024
Registry listing for us-stock-analysis matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Michael Rao· Sep 21, 2024
I recommend us-stock-analysis for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Rahul Santra· Sep 1, 2024
Keeps context tight: us-stock-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Pratham Ware· Aug 20, 2024
Registry listing for us-stock-analysis matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Michael Abbas· Aug 12, 2024
us-stock-analysis reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Sakshi Patil· Jul 11, 2024
us-stock-analysis reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Evelyn Malhotra· Jul 3, 2024
Registry listing for us-stock-analysis matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Benjamin Torres· Jun 22, 2024
Keeps context tight: us-stock-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.
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